Title :
New intelligent diagnosis method to determine thyroid disorders
Author :
Erdem Alkım;Emre Gürbüz;Erdal Kılıç
Author_Institution :
Bilgisayar Mü
fDate :
4/1/2011 12:00:00 AM
Abstract :
In this study, the Learning Vector Quantization (LVQ) network model is enhanced with attaching conscience mechanism to be used in diagnosis of thyroid disorders, so that network´s disease diagnostic success percentage is increased and the conscience coefficients which is used in the network is obtained in an adaptive manner. It is observed that the LVQ network model created with this new mechanism learns faster than the other networks, besides conscience mechanism increases percentage of network´s performance. The results obtained are discussed by comparison with similar studies.
Keywords :
"Artificial neural networks","Conferences","Vector quantization","Diseases","Adaptation model","Machine learning"
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Print_ISBN :
978-1-4577-0462-8
DOI :
10.1109/SIU.2011.5929581
